Investment reflects growing interest in “physical AI” as startups target labor shortages in service industries
NAVER’s venture arm, NAVER D2SF, has invested in physical AI startup Khameleon, marking the company’s first external funding since its founding. The pre-seed round also included participation from Base Ventures, Mashup Ventures, The Ventures, Schmidt Ventures, and a group of institutional investors from the United States and the United Kingdom.
While financial details were not disclosed, the investment signals NAVER D2SF’s continued focus on early-stage startups building in emerging technology categories. In this case, the emphasis is on “physical AI” — a segment that combines artificial intelligence with robotics to perform real-world tasks, particularly in environments that are difficult to automate.
Targeting a persistent problem in the hotel industry
Khameleon is focusing on a specific and often overlooked segment: hotel housekeeping. In North America, hotels are facing a combination of labor shortages, high turnover, and rising wages, creating structural pressure on operations.
Housekeeping has been especially difficult to stabilize. Annual turnover rates are estimated at 70–80%, forcing hotels to continuously increase wages to retain staff. Despite this, many roles remain unfilled, and service consistency can suffer.
This creates a clear opportunity for automation. However, unlike structured environments such as warehouses, hotel rooms present a more complex challenge. Tasks like restroom cleaning or full-room housekeeping require adaptability, precision, and adherence to high cleanliness standards—areas where existing commercial robots have struggled.
Khameleon’s approach is to tackle these constraints directly, positioning itself in a niche where demand is strong but technical barriers remain high.
Technology approach and development plans
The company is developing robots designed to handle a wide range of housekeeping tasks, from restroom cleaning to full-service room maintenance. Its system combines hardware capable of operating in varied physical environments with software infrastructure designed for ultra-low-latency control across different network conditions.
This focus on adaptability is central to Khameleon’s positioning. Unlike many robotics solutions that are optimized for repetitive, controlled settings, the company is targeting “unstructured environments” — spaces where layouts, objects, and conditions constantly change.
The startup has already validated early market interest in both the United States and China and is building a pipeline of potential customers. A restroom-cleaning prototype is scheduled to begin on-site testing in the second quarter of 2026, with plans to gradually expand into broader housekeeping functions.
Khameleon’s founding team brings experience from major global technology companies, including Tesla, Apple, Meta, and Bear Robotics. Their backgrounds span computer vision, robotic control systems, and teleoperation—core technologies required for physical AI deployment.
Importantly, the team also has experience in scaling robotics products. They have previously worked on projects involving the mass production of more than 20,000 robots, suggesting familiarity not only with R&D but also with manufacturing and commercialization challenges.
This combination of technical depth and operational experience is likely a key factor behind investor interest, particularly in a sector where many startups struggle to move beyond prototypes.
Context: growing interest in physical AI
The investment comes amid growing attention toward physical AI as the next phase of artificial intelligence development. While much of the recent AI boom has focused on software—such as large language models—investors are increasingly exploring how AI can be applied to physical tasks.
Robotics startups that combine AI with real-world execution are seen as a long-term opportunity, especially in industries facing structural labor shortages. Sectors such as hospitality, logistics, healthcare, and manufacturing are emerging as key testing grounds.
However, the path to commercialization remains complex. Physical AI systems must operate reliably in unpredictable environments, meet safety standards, and deliver clear economic value. As a result, early-stage investments like Khameleon’s reflect both high potential and high uncertainty.
Strategic fit for NAVER D2SF
For NAVER D2SF, the investment aligns with its broader strategy of identifying startups that can define new technology categories. The firm has previously backed companies in AI, robotics, and deep tech, often at an early stage.
“Khameleon combines deep technical expertise with hands-on field experience, positioning the team to solve real-world hotel challenges and demonstrate the value of physical AI,” said Yang Sang-hwan, head of NAVER D2SF.
He added that the firm will continue to invest in startups that can “rapidly build success and write a new playbook for physical AI,” suggesting a long-term interest in shaping how this category evolves.
Khameleon plans to use the new funding to accelerate on-site testing in North American hotels, expand its team, and deepen partnerships with global customers.
“Cleaning is a universal necessity, yet core tasks like restroom cleaning and housekeeping remain largely manual — and that’s exactly the problem Khameleon is here to solve,” said CEO Donghoon Lee.
The next phase will be critical. Moving from pilot testing to full deployment will require not only technical performance but also integration into hotel operations and cost justification for customers.
If successful, Khameleon could offer a glimpse into how physical AI transitions from concept to practical use—starting with one of the service industry’s most persistent challenges.
